PUMA publications for /tag/dataset%20toread%20taghttps://puma.uni-kassel.de/tag/dataset%20toread%20tagPUMA RSS feed for /tag/dataset%20toread%20tag2024-03-29T12:36:47+01:00A sparse gaussian processes classification framework for fast tag suggestionshttps://puma.uni-kassel.de/bibtex/2d330a3537b4a14fbd40661424ec8e465/hothohotho2008-12-01T15:38:40+01:00bibsonomy bookmarking classification dataset ml recommender social tag tagging taggingsurvey toread <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Yang Song" itemprop="url" href="/author/Yang%20Song"><span itemprop="name">Y. Song</span></a></span>, <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lu Zhang" itemprop="url" href="/author/Lu%20Zhang"><span itemprop="name">L. Zhang</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="C. Lee Giles" itemprop="url" href="/author/C.%20Lee%20Giles"><span itemprop="name">C. Giles</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining</span>, </em></span><em>Seite <span itemprop="pagination">93--102</span>. </em><em>New York, NY, USA, </em><em><span itemprop="publisher">ACM</span>, </em>(<em><span>2008<meta content="2008" itemprop="datePublished"/></span></em>)Mon Dec 01 15:38:40 CET 2008New York, NY, USACIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining93--102A sparse gaussian processes classification framework for fast tag suggestions2008bibsonomy bookmarking classification dataset ml recommender social tag tagging taggingsurvey toread A sparse gaussian processes classification framework for fast tag suggestionsImproving Tag-Clouds as Visual Information Retrieval Interfaceshttps://puma.uni-kassel.de/bibtex/206f68f9fe46dc6d0f646d932e428dec9/hothohotho2009-01-16T12:08:23+01:00clouds dataset del.icio.us information tag tagging taggingsurvey toread visual <span class="authorEditorList"><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Y. Hassan-Montero" itemprop="url" href="/author/Y.%20Hassan-Montero"><span itemprop="name">Y. Hassan-Montero</span></a></span>, und <span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="V. Herrero-Solana" itemprop="url" href="/author/V.%20Herrero-Solana"><span itemprop="name">V. Herrero-Solana</span></a></span>. </span><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">InScit2006: International Conference on Multidisciplinary Information Sciences and Technologies</span>, </em></span>(<em><span>2006<meta content="2006" itemprop="datePublished"/></span></em>)Fri Jan 16 12:08:23 CET 2009InScit2006: International Conference on Multidisciplinary Information Sciences and TechnologiesImproving Tag-Clouds as Visual Information Retrieval Interfaces2006clouds dataset del.icio.us information tag tagging taggingsurvey toread visual Tagging-based systems enable users to categorize web resources by means of tags (freely chosen keywords), in order to re-finding these resources later. Tagging is implicitly also a social indexing process, since users share their tags and resources, constructing a social tag index, so-called folksonomy. At the same time of tagging-based system, has been popularised an interface model for visual information retrieval known as Tag-Cloud. In this model, the most frequently used tags are displayed in alphabetical order. This paper presents a novel approach to Tag-Cloud�s tags selection, and proposes the use of clustering algorithms for visual layout, with the aim of improve browsing experience. The results suggest that presented approach reduces the semantic density of tag set, and improves the visual consistency of Tag-Cloud layout.